• Design, develop, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from diverse structured and unstructured sources. • Build and optimize data models and data architectures to support analytics, reporting, and operational use cases. • Implement and maintain CI/CD pipelines for data engineering workflows, including data pipelines and scheduled jobs, using version control and automation tools. • Develop and deploy cloud-based data solutions, leveraging services such as object storage, serverless compute, and messaging/queueing services. • Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers. • Ensure data quality, integrity, and reliability through validation, monitoring, logging, and alerting. • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption efforts. • Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines. • Document data flows, pipelines, and technical solutions to support knowledge sharing and compliance requirements. • Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms.

• Utilize Veteran Affairs–specific data and analytics expertise to support cloud migration and ongoing operations including CCTS. • Work with CDW, VISTA, and Oracle Health data in support of VHA analytics service lines. • Apply expertise in CDW Metadata, data modeling, and CDW query optimization. • Conduct in‑depth data analysis to identify architectural migration patterns and resolve data or system dependencies. • Collaborate with physicians, nurses, group practice managers, VA ADPACS and CACs, OIT technical staff, CDW technical staff, and VA leadership at all levels. • Support technical architecture planning and ensure data integrity throughout migration processes. • Document technical processes and produce high‑quality reports and migration documentation. • Utilize experience with virtual and/or cloud‑based servers and applications to support system modernization.

• Collaborate with compliance experts, cybersecurity experts, and platform architects to ensure the data platform is efficient, secure, and highly available • Implement secure code development • Plan and execute logging improvements to achieve flexible unified audit across various technologies on the platform • Design and implement security event monitoring and alerting (Splunk) to ensure observability & performance of the platform in compliance with cybersecurity & governance requirements • Maintain production-grade infrastructure using Terraform or Ansible, ensuring consistent and automated resource provisioning. • Change platform network configuration (e.g. FQDN zone) to ensure compliance with the centralized requirements • Maintain & keep up-to-date security certificates • Manage automated CI/CD pipelines for data product

• Build pipelines to load data from various systems into Dataiku via S3 or Snowflake (AWS, K8s, kube, prometheus…) • Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates • In collaboration with the Enterprise Data and Analytics and Business Systems teams, increase the reliability and scale of our product usage data. You will extract data from our core product and ensure accurate, real-time ingestion into downstream tools and perform ad-hoc analyses. • Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities • Contribute to the health of our data systems by designing and documenting good practices for our data usage